Shapley Value-Guided Adaptive Ensemble Learning for Explainable Financial Fraud Detection with U.S. Regulatory Compliance Validation

Research paper presenting Shapley value-guided adaptive ensemble learning for financial fraud detection with built-in U.S. regulatory compliance validation. The work addresses the intersection of explainable AI and financial services compliance, validating that ensemble models can maintain detection accuracy while satisfying regulatory interpretability requirements.